Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 376 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0103. Min Act: -0.0005

Data Index: 1565331 (Python Code)

Max Activating Token Index: 2

Text #1

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1460233 (Python Code)

Max Activating Token Index: 2

Text #2

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1530786 (Python Code)

Max Activating Token Index: 2

Text #3

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1452467 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1507967 (Python Code)

Max Activating Token Index: 2

Text #5

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1496934 (Python Code)

Max Activating Token Index: 2

Text #6

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Data Index: 1638829 (Python Code)

Max Activating Token Index: 2

Text #7

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Data Index: 1535035 (Python Code)

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Text #8

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Data Index: 1503253 (Python Code)

Max Activating Token Index: 3

Text #9

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Data Index: 1495546 (Python Code)

Max Activating Token Index: 3

Text #10

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Data Index: 1633886 (Python Code)

Max Activating Token Index: 3

Text #11

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Data Index: 1405812 (Python Code)

Max Activating Token Index: 3

Text #12

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Data Index: 1620004 (Python Code)

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Text #13

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1405186 (Python Code)

Max Activating Token Index: 3

Text #14

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Data Index: 1397497 (Python Code)

Max Activating Token Index: 3

Text #15

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Data Index: 1594321 (Python Code)

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Text #16

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Data Index: 1495784 (Python Code)

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Text #17

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Data Index: 1455613 (Python Code)

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Text #18

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Data Index: 1451105 (Python Code)

Max Activating Token Index: 5

Text #19

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 1375175 (Python Code)

Max Activating Token Index: 5